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most citedDeep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

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cs.CL2023

Simple and Effective Input Reformulations for Translation

Brian Yu, Hansen Lillemark, Kurt Keutzer

Foundation language models learn from their finetuning input context in different ways. In this paper, we reformulate inputs during finetuning for challenging translation tasks, le…